"use strict";
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/**
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* @license
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* Copyright 2018 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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Object.defineProperty(exports, "__esModule", { value: true });
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var engine_1 = require("../engine");
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var tensor_util_env_1 = require("../tensor_util_env");
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var operation_1 = require("./operation");
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var slice_1 = require("./slice");
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var slice_util_1 = require("./slice_util");
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/**
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* Extracts a strided slice of a tensor.
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*
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* Roughly speaking, this op extracts a slice of size (end-begin)/stride from
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* the given input tensor (x). Starting at the location specified by begin the
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* slice continues by adding stride to the index until all dimensions are not
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* less than end. Note that a stride can be negative, which causes a reverse
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* slice.
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*
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* ```js
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* const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],
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* [3, 2, 3]);
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* t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print() // [[[3, 3, 3]]]
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* t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print() // [[[3, 3, 3],
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* // [4, 4, 4]]]
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* t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],
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* // [3, 3, 3]]]
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* ```
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*
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* @param x The tensor to stride slice.
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* @param begin The coordinates to start the slice from.
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* @param end: The coordinates to end the slice at.
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* @param strides: The size of the slice.
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* @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored
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* and the fullest possible range in that dimension is used instead.
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* @param endMask: If the ith bit of endMask is set, end[i] is ignored
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* and the fullest possible range in that dimension is used instead.
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* @param shrinkAxisMask: a bitmask where bit i implies that
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* the ith specification should shrink the dimensionality. begin and end must
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* imply a slice of size 1 in the dimension.
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*/
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/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */
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function stridedSlice_(x, begin, end, strides, beginMask, endMask, ellipsisMask, newAxisMask, shrinkAxisMask) {
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if (beginMask === void 0) { beginMask = 0; }
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if (endMask === void 0) { endMask = 0; }
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if (ellipsisMask === void 0) { ellipsisMask = 0; }
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if (newAxisMask === void 0) { newAxisMask = 0; }
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if (shrinkAxisMask === void 0) { shrinkAxisMask = 0; }
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if (strides == null) {
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strides = new Array(begin.length);
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}
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if (ellipsisMask !== 0) {
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throw new Error('ellipsis mask is not yet supported');
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}
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var $x = tensor_util_env_1.convertToTensor(x, 'x', 'stridedSlice');
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// Expand the dims of x based on the newAxisMask.
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var expandAxes = slice_util_1.maskToAxes(newAxisMask);
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var newShape = $x.shape.slice();
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expandAxes.forEach(function (axis) {
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begin[axis] = 0;
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end[axis] = 1;
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newShape.splice(axis, 0, 1);
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});
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$x = $x.reshape(newShape);
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// Normalize the start, end and strides.
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for (var axis = 0; axis < $x.rank; axis++) {
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begin[axis] = slice_util_1.startForAxis(beginMask, begin, strides, $x.shape, axis);
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end[axis] = slice_util_1.stopForAxis(endMask, end, strides, $x.shape, axis);
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strides[axis] = strides[axis] || 1;
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}
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var shrinkAxes = slice_util_1.maskToAxes(shrinkAxisMask);
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// Adjust the ends based on the shrink mask.
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shrinkAxes.forEach(function (axis) {
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end[axis] = begin[axis] + 1;
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strides[axis] = 1;
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});
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// Figure out the output shape.
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var size = slice_util_1.computeOutShape(begin, end, strides);
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// Remove the axes based on shrinkMask.
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var outShape = size.filter(function (_, axis) { return shrinkAxes.indexOf(axis) === -1; });
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var nonStrided = strides.every(function (v) { return v === 1; });
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if (nonStrided) {
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return slice_1.slice($x, begin, size).reshape(outShape);
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}
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var res = engine_1.ENGINE.runKernelFunc(function (backend) { return backend.stridedSlice($x, begin, end, strides); }, { $x: $x });
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return res.reshape(outShape);
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}
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exports.stridedSlice = operation_1.op({ stridedSlice_: stridedSlice_ });
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//# sourceMappingURL=strided_slice.js.map
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